Edge, the leading open-source enterprise Postgres company, today announced the AI DBA Workbench for Postgres, an AI-powered ...
The MCP Dev Summit featured more than 50 sponsors offering MCP and related agentic AI products for the enterprise.
EnterpriseDB (EDB), a leading sovereign AI and data company, is launching the Postgres Vitality Index, a framework measuring the breadth and depth of commercial contributions shaping the future of ...
National statistical systems generate the statistics that underpin policy, economic analysis, and public trust. Yet, despite decades of investment in statistical capacity, two persistent challenges, ...
Leading enterprises including BlueCloud and Sigma Computing will rely on Snowflake Postgres to reduce data silos and complex data pipelines for AI and analytics use cases Snowflake Horizon Catalog ...
While vector databases still have many valid use cases, organizations including OpenAI are leaning on PostgreSQL to get things done. In a blog post on Thursday, OpenAI disclosed how it is using the ...
Learn how to use PostgreSQL + PGVector as a smarter, more contextual retrieval engine for GenAI apps Discover best practices for embedding storage, indexing, and relevance scoring in Azure Database ...
Azure HorizonDB introduces cloud-native PostgreSQL with disaggregated compute and storage for faster scaling and failover. HorizonDB’s Rust-based storage engine improves security, reliability, and ...
The federal statistical system is facing “unprecedented strain, uncertainty and transformation” in the face of staffing losses, funding pressures and threats to statistical integrity, according to a ...
A century ago, two oddly domestic puzzles helped set the rules for what modern science treats as "real": a Guinness brewer charged with quality control and a British lady insisting she can taste ...
Enterprises need data, and data needs to be stored, with a flexible, portable environment that scales from developers’ laptops to global clouds. That storage also needs to be able to run on any OS and ...
Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...